Pose-Independent Face Identification from Video Sequences

نویسندگان

  • Michael C. Lincoln
  • Adrian F. Clark
چکیده

A scheme for pose-independent face recognition is presented. An “unwrapped” texture map is constructed from a video sequence using a texture-from-motion approach, which is shown to be quite accurate. Simple lighting normalization methods improve robustness to directional and/or varying lighting conditions. Recognition of single frames against calculated unwrapped textures is carried out using principal component analysis. The system is typically better than 90% correct in its identifications.

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تاریخ انتشار 2001